AI/ML : Linear and Logistic Regression & Unsupervised Learning and DL- Module 4 Training Logo

AI/ML : Linear and Logistic Regression & Unsupervised Learning and DL- Module 4 Training

Live Online & Classroom Enterprise Certification Training

Master predictive modeling with linear and logistic regression, explore clustering and dimensionality reduction in unsupervised learning, and dive into advanced deep learning architectures. Ideal for aspiring data scientists and AI enthusiasts.

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What is AI/ML : Linear and Logistic Regression & Unsupervised Learning and DL- Module 4 Course about?

  • Linear Regression: Basics and applications in predictive modeling.
  • Logistic Regression: Binary classification techniques.
  • Unsupervised Learning:
    • Clustering: Methods like K-means.
    • Dimensionality Reduction: Techniques such as PCA.
  • Deep Learning:
    • Neural Networks: Basic and advanced architectures (CNNs, RNNs).
    • Applications: Implement models for image and text processing.
  • Hands-on Projects: Real-world dataset applications.
  • Model Evaluation: Techniques for tuning and optimization.

    • What are the objectives of AI/ML : Linear and Logistic Regression & Unsupervised Learning and DL- Module 4 Course ?

  • Understand and apply linear and logistic regression for predictive modeling and classification.
  • Master unsupervised learning techniques such as clustering and dimensionality reduction.
  • Gain a solid foundation in neural networks and advanced deep learning architectures.
  • Implement deep learning models for practical applications like image and text processing.
  • Develop skills in evaluating, tuning, and optimizing machine learning models.
  • Apply theoretical knowledge through hands-on projects using real-world datasets.

    • Who is AI/ML : Linear and Logistic Regression & Unsupervised Learning and DL- Module 4 Course for?

  • Aspiring Data Scientists: Looking to build a strong foundation in machine learning and deep learning.
  • AI Enthusiasts: Interested in understanding and applying key AI/ML concepts and techniques.
  • Developers: Seeking to enhance their skill set with machine learning and AI capabilities.
  • Analysts: Wanting to leverage advanced analytics and predictive modeling in their work.
  • IT Professionals: Aiming to integrate AI/ML solutions into business processes.
  • Students: Pursuing studies in data science, machine learning, or related fields and looking for practical experience.

    • What are the prerequisites for AI/ML : Linear and Logistic Regression & Unsupervised Learning and DL- Module 4 Course?

  • Basic Programming Skills: Proficiency in Python is recommended.
  • Mathematics Knowledge: Understanding of linear algebra, calculus, and statistics.
  • Familiarity with Data Analysis: Basic knowledge of data manipulation and analysis using libraries like pandas and NumPy.
  • Introductory Machine Learning Concepts: Awareness of basic machine learning principles and algorithms

    • Available Training Modes

    Live Online Training

    2 Days

    Course Outline Expand All

    Expand All

    • Linear and Logistic Regression 4 Hrs Linear Regression
    • How does it help
    • Easy interpretable results and importance of each features
    • Model significance using stats model. Will show how to interpret the results (with getting into technique)
    • Logistic Regression
    • How does it help
    • Easy interpretable results and importance of each features
    • AI Explainablilty and Interpretable models
    • Model significance using stats model. Will show how to interpret the results (with getting into technique)
    • Unsupervised Learning
    • Learn insights from unsupervised methods, Dimensionality Reduction
    • Deep LeaSummary of DL models and advantages and disadvantages and some use cases of where we could use themrning

    Who is the instructor for this training?

    The trainer for this AI/ML : Linear and Logistic Regression & Unsupervised Learning and DL- Module 4 Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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